http://www.bibsonomy.org/burst/group/erealitaet_ibk_07BibSonomy BuRST Feed for /group/erealitaet_ibk_072008-07-27T03:47:29+02:00http://www.bibsonomy.org/bibtex/2824defe16321ee42300dbd9fd9e85d92/beatebeate2008-07-25T01:18:15+02:00ir relevance evaluation ranking <span style="color:#555555;">Shengli <a href="http://www.bibsonomy.org/author/Wu">Wu</a> and Fabio <a href="http://www.bibsonomy.org/author/Crestani">Crestani</a> </span><em>Proceedings of the 2003 ACM Symposium on Applied Computing, </em><em>Melbourne, Florida, </em><em>March2003. </em>Fri Jul 25 01:18:15 CEST 2008Melbourne, FloridaProceedings of the 2003 ACM Symposium on Applied ComputingMarchMethods for ranking information retrieval systems without relevance judgements2003ir relevance evaluation ranking http://www.bibsonomy.org/bibtex/22e0f305624c1ec9324f1139a0e067a9f/beatebeate2008-07-21T21:35:02+02:00trust propagation social-network distrust <span style="color:#555555;">R. <a href="http://www.bibsonomy.org/author/Guha">Guha</a> and Ravi <a href="http://www.bibsonomy.org/author/Kumar">Kumar</a> and Prabhakar <a href="http://www.bibsonomy.org/author/Raghavan">Raghavan</a> and Andrew <a href="http://www.bibsonomy.org/author/Tomkins">Tomkins</a> </span><em>International World Wide Web Conference, </em>(<em>2004</em>)Mon Jul 21 21:35:02 CEST 2008International World Wide Web ConferencePropagation of Trust and Distrust2004trust propagation social-network distrust WWW: WWW '08, Trust-based recommendation systems: an ...http://www.bibsonomy.org/bibtex/2df1446a1756ae4ae4f5556fb635167f2/beatebeate2008-07-20T05:55:30+02:00networks trust recommendations reputation <span style="color:#555555;">Reid <a href="http://www.bibsonomy.org/author/Andersen">Andersen</a> and Christian <a href="http://www.bibsonomy.org/author/Borgs">Borgs</a> and Jennifer <a href="http://www.bibsonomy.org/author/Chayes">Chayes</a> and Uriel <a href="http://www.bibsonomy.org/author/Feige">Feige</a> and Abraham <a href="http://www.bibsonomy.org/author/Flaxman">Flaxman</a> and Adam <a href="http://www.bibsonomy.org/author/Kalai">Kalai</a> and Vahab <a href="http://www.bibsonomy.org/author/Mirrokni">Mirrokni</a> and Moshe <a href="http://www.bibsonomy.org/author/Tennenholtz">Tennenholtz</a> </span><em>WWW '08: Proceeding of the 17th international conference on World Wide Web, </em><em>page199--208. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2008</em>)Sun Jul 20 05:55:30 CEST 2008New York, NY, USAWWW '08: Proceeding of the 17th international conference on World Wide Web199--208Trust-based recommendation systems: an axiomatic approach2008networks trust recommendations reputation http://www.bibsonomy.org/bibtex/2f1a145a60c3e4d39e91b39a7c1178110/beatebeate2008-07-17T00:11:22+02:00relation semantic-web ie social-networks <span style="color:#555555;">Junichiro <a href="http://www.bibsonomy.org/author/Mori">Mori</a> and Takumi <a href="http://www.bibsonomy.org/author/Tsujishita">Tsujishita</a> and Yutaka <a href="http://www.bibsonomy.org/author/Matsuo">Matsuo</a> and Mitsuru <a href="http://www.bibsonomy.org/author/Ishizuka">Ishizuka</a> </span><em>International Semantic Web Conference, </em><em>page487-500. </em>(<em>2006</em>)Thu Jul 17 00:11:22 CEST 2008International Semantic Web ConferenceDBLP:conf/semweb/2006487-500Extracting Relations in Social Networks from the Web Using Similarity Between Collective Contexts2006relation semantic-web ie social-networks KUG Recherche-Portalhttp://www.bibsonomy.org/bibtex/26816bb1d0f4a97876fd516b7e207d255/beatebeate2008-06-09T11:34:04+02:00XML Perl <span style="color:#555555;">Erik T. <a href="http://www.bibsonomy.org/author/Ray">Ray</a> and Jason <a href="http://www.bibsonomy.org/author/MacIntosh">MacIntosh</a> </span><em>O'Reilly, </em><em>Beijing [u.a.], </em><em>1. ed. edition, </em>(<em>2002</em>)Mon Jun 09 11:34:04 CEST 2008Beijing [u.a.]1. ed.Perl and XML2002XML Perl CHI: CHI '08, CiteSense: supporting sensemaking of ...http://www.bibsonomy.org/bibtex/2b69f467ca81c753d0192f02c574ad931/beatebeate2008-06-07T15:45:53+02:00citation tools analysis research <span style="color:#555555;">Xiaolong <a href="http://www.bibsonomy.org/author/Zhang">Zhang</a> and Yan <a href="http://www.bibsonomy.org/author/Qu">Qu</a> and C. <a href="http://www.bibsonomy.org/author/Lee Giles">Lee Giles</a> and Piyou <a href="http://www.bibsonomy.org/author/Song">Song</a> </span><em>CHI '08: Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems, </em><em>page677--680. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2008</em>)Sat Jun 07 15:45:53 CEST 2008New York, NY, USACHI '08: Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems677--680CiteSense: supporting sensemaking of research literature2008citation tools analysis research http://www.bibsonomy.org/bibtex/262ac28c3d46df728a5d577f84d927be3/beatebeate2008-06-07T15:03:46+02:00study folksonomy social-search dis analysis ir <span style="color:#555555;">P. <a href="http://www.bibsonomy.org/author/Jason Morrison">Jason Morrison</a> </span><em>Information Processing &amp; Management</em>(<em>2008</em>)Sat Jun 07 15:03:46 CEST 2008Information Processing & Management1397--1648Tagging and searching: Search retrieval effectiveness of folksonomies on the World Wide Web442008study folksonomy social-search dis analysis ir Many Web sites have begun allowing users to submit items to a collection and tag them with keywords. The folksonomies built from these tags are an interesting topic that has seen little empirical research. This study compared the search information retrieval (IR) performance of folksonomies from social bookmarking Web sites against search engines and subject directories. Thirty-four participants created 103 queries for various information needs. Results from each IR system were collected and participants judged relevance. Folksonomy search results overlapped with those from the other systems, and documents found by both search engines and folksonomies were significantly more likely to be judged relevant than those returned by any single IR system type. The search engines in the study had the highest precision and recall, but the folksonomies fared surprisingly well. Del.icio.us was statistically indistinguishable from the directories in many cases. Overall the directories were more precise than the folksonomies but they had similar recall scores. Better query handling may enhance folksonomy IR performance further. The folksonomies studied were promising, and may be able to improve Web search performance.ROC Graphs: Notes and Practical Considerations for Researchershttp://www.bibsonomy.org/bibtex/2819643be78dd30c066ebf6a97c5480df/beatebeate2008-06-04T13:47:18+02:00data-mining roc evaluation tutorial <span style="color:#555555;">T. <a href="http://www.bibsonomy.org/author/Fawcett">Fawcett</a> </span>(<em>2004</em>)Wed Jun 04 13:47:18 CEST 2008ROC Graphs: Notes and Practical Considerations for Researchers2004data-mining roc evaluation tutorial http://www.bibsonomy.org/bibtex/2b3a5e9851647ca0a7dfb62f041872504/beatebeate2008-06-03T21:19:09+02:00bookmarking myown system social folksonomy 2007 <span style="color:#555555;">Robert <a href="http://www.bibsonomy.org/author/Jäschke">J&#228;schke</a> and Miranda <a href="http://www.bibsonomy.org/author/Grahl">Grahl</a> and Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and Beate <a href="http://www.bibsonomy.org/author/Krause">Krause</a> and Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> and Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Workshop on Social and Collaborative Construction of Structured Knowledge (CKC 2007) at WWW 2007, </em><em>Banff, Canada, </em>(<em>2007</em>)Tue Jun 03 21:19:09 CEST 2008Banff, CanadaWorkshop on Social and Collaborative Construction of Structured Knowledge (CKC 2007) at WWW 2007Organizing Publications and Bookmarks in BibSonomy2007bookmarking myown system social folksonomy 2007 http://www.bibsonomy.org/bibtex/2359e1eccdc524334d4a2ad51330f76ae/beatebeate2008-06-03T21:18:00+02:00myown 2008 search analysis logsonomy folksonomy <span style="color:#555555;">Robert <a href="http://www.bibsonomy.org/author/Jäschke">J&#228;schke</a> and Beate <a href="http://www.bibsonomy.org/author/Krause">Krause</a> and Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008), </em><em>AAAI Press, </em>(<em>2008</em>)Tue Jun 03 21:18:00 CEST 2008Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008)Logsonomy — A Search Engine Folksonomy2008myown 2008 search analysis logsonomy folksonomy In social bookmarking systems users describe bookmarks by keywords called tags. The structure behind these social systems, called folksonomies, can be viewed as a tripartite hypergraph of user, tag and resource nodes. This underlying network shows specific structural properties that explain its growth and the possibility of serendipitous exploration. Search engines filter the vast information of the web. Queries describe a user’s information need. In response to the displayed results of the search engine, users click on the links of the result page as they expect the answer to be of relevance. The clickdata can be represented as a folksonomy in which queries are descriptions of clicked URLs. This poster analyzes the topological characteristics of the resulting tripartite hypergraph of queries, users and bookmarks of two query logs and compares it two a snapshot of the folksonomy del.icio.us.http://www.bibsonomy.org/bibtex/203d349d70b578ca9ac3155f661151868/beatebeate2008-06-03T21:08:04+02:002008 spam folksonomy myown <span style="color:#555555;">Beate <a href="http://www.bibsonomy.org/author/Krause">Krause</a> and Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Proc. of the Fourth International Workshop on Adversarial Information Retrieval on the Web, </em>(<em>2008</em>)Tue Jun 03 21:08:04 CEST 2008Proc. of the Fourth International Workshop on Adversarial Information Retrieval on the WebThe Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems20082008 spam folksonomy myown SpringerLink - Book Chapterhttp://www.bibsonomy.org/bibtex/24462cf1a0c1364eed97392196402735c/beatebeate2008-05-16T16:22:34+02:00social-search web2.0 folksonomy <span style="color:#555555;">Yusuke <a href="http://www.bibsonomy.org/author/Yanbe">Yanbe</a> and Adam <a href="http://www.bibsonomy.org/author/Jatowt">Jatowt</a> and Satoshi <a href="http://www.bibsonomy.org/author/Nakamura">Nakamura</a> and Katsumi <a href="http://www.bibsonomy.org/author/Tanaka">Tanaka</a> </span><em>Web Engineering</em>(<em>2007</em>)Fri May 16 16:22:34 CEST 2008Web Engineering343--357Towards Improving Web Search by Utilizing Social Bookmarks2007social-search web2.0 folksonomy Social bookmarking services have become recently popular in the Web. Along with the rapid increase in the amount of social bookmarks, future applications could leverage this data for enhancing search in the Web. This paper investigates the possibilityand potential benefits of a hybrid page ranking approach that would combine the ranking criteria of PageRank with the onebased on social bookmarks in order to improve the search in the Web. We demonstrate and discuss the results of analyticalstudy made in order to compare both popularity estimates. In addition, we propose a simple hybrid search method that combinesboth ranking metrics and we show some preliminary experiments using this approach. We hope that this study will shed new lighton the character of data in social bookmarking systems and foster development of new, effective search applications for theWeb.http://www.bibsonomy.org/bibtex/252c7a6a81d20a8adf3e942d7b1fefc25/beatebeate2008-05-16T16:19:55+02:00annotation ir folksonomy web2.0 social-search <span style="color:#555555;">Ding <a href="http://www.bibsonomy.org/author/Zhou">Zhou</a> and Jiang <a href="http://www.bibsonomy.org/author/Bian">Bian</a> and Shuyi <a href="http://www.bibsonomy.org/author/Zheng">Zheng</a> and Giles <a href="http://www.bibsonomy.org/author/Lee">Lee</a> and Hongyuan <a href="http://www.bibsonomy.org/author/Zha">Zha</a> </span><em>Proceedings of the 17th International World Wide Web Conference, </em><em>Beijing, Peking, </em>(<em>2008</em>)Fri May 16 16:19:55 CEST 2008Beijing, PekingProceedings of the 17th International World Wide Web ConferenceExploring Social Annotations for Information Retrieval2008annotation ir folksonomy web2.0 social-search http://www.bibsonomy.org/bibtex/22b5a7060510192d41e0c18aa7ab4fdc7/beatebeate2008-05-16T15:53:27+02:00social-search social-networks <span style="color:#555555;">Yingzi <a href="http://www.bibsonomy.org/author/Jin">Jin</a> and Yutaka <a href="http://www.bibsonomy.org/author/Matsuo">Matsuo</a> and Mitsuru <a href="http://www.bibsonomy.org/author/Ishizuka">Ishizuka</a> </span><em>Workshop on Social Web Search and Mining, </em><em>Beijing, Peking, </em>(<em>2008</em>)Fri May 16 15:53:27 CEST 2008Beijing, PekingWorkshop on Social Web Search and MiningRanking Entities on the Web using Social Network Mining and Ranking Learning2008social-search social-networks Detecting spam web pages through content analysishttp://www.bibsonomy.org/bibtex/2c93f4228fd8552bede071569cdaa1ad9/beatebeate2008-04-07T10:41:46+02:00features web spam <span style="color:#555555;">Alexandros <a href="http://www.bibsonomy.org/author/Ntoulas">Ntoulas</a> and Marc <a href="http://www.bibsonomy.org/author/Najork">Najork</a> and Mark <a href="http://www.bibsonomy.org/author/Manasse">Manasse</a> and Dennis <a href="http://www.bibsonomy.org/author/Fetterly">Fetterly</a> </span><em>WWW '06: Proceedings of the 15th international conference on World Wide Web, </em><em>page83--92. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2006</em>)Mon Apr 07 10:41:46 CEST 2008New York, NY, USAWWW '06: Proceedings of the 15th international conference on World Wide Web83--92Detecting spam web pages through content analysis2006features web spam In this paper, we continue our investigations of "web spam": the injection of artificially-created pages into the web in order to influence the results from search engines, to drive traffic to certain pages for fun or profit. This paper considers some previously-undescribed techniques for automatically detecting spam pages, examines the effectiveness of these techniques in isolation and when aggregated using classification algorithms. When combined, our heuristics correctly identify 2,037 (86.2%) of the 2,364 spam pages (13.8%) in our judged collection of 17,168 pages, while misidentifying 526 spam and non-spam pages (3.1%).dblphttp://www.bibsonomy.org/bibtex/2285dfdeb8409e59a0c516dc632e508cf/beatebeate2008-04-07T10:26:42+02:00spam blog language <span style="color:#555555;">Gilad <a href="http://www.bibsonomy.org/author/Mishne">Mishne</a> and David <a href="http://www.bibsonomy.org/author/Carmel">Carmel</a> and Ronny <a href="http://www.bibsonomy.org/author/Lempel">Lempel</a> </span><em>AIRWeb, </em><em>page1-6. </em>(<em>2005</em>)Mon Apr 07 10:26:42 CEST 2008AIRWebconf/airweb/20051-6Blocking Blog Spam with Language Model Disagreement.2005spam blog language Detecting semantic cloaking on the webhttp://www.bibsonomy.org/bibtex/2696889b2eeda8dd8391c9c1ec156634b/beatebeate2008-04-07T10:24:05+02:00cloaking spam web <span style="color:#555555;">Baoning <a href="http://www.bibsonomy.org/author/Wu">Wu</a> and Brian D. <a href="http://www.bibsonomy.org/author/Davison">Davison</a> </span><em>WWW '06: Proceedings of the 15th international conference on World Wide Web, </em><em>page819--828. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2006</em>)Mon Apr 07 10:24:05 CEST 2008New York, NY, USAWWW '06: Proceedings of the 15th international conference on World Wide Web819--828Detecting semantic cloaking on the web2006cloaking spam web By supplying different versions of a web page to search engines and to browsers, a content provider attempts to cloak the real content from the view of the search engine. Semantic cloaking refers to differences in meaning between pages which have the effect of deceiving search engine ranking algorithms. In this paper, we propose an automated two-step method to detect semantic cloaking pages based on different copies of the same page downloaded by a web crawler and a web browser. The first step is a filtering step, which generates a candidate list of semantic cloaking pages. In the second step, a classifier is used to detect semantic cloaking pages from the candidates generated by the filtering step. Experiments on manually labeled data sets show that we can generate a classifier with a precision of 93% and a recall of 85%. We apply our approach to links from the dmoz Open Directory Project and estimate that more than 50,000 of these pages employ semantic cloaking.DBLP Record 'conf/airweb/GanS07'http://www.bibsonomy.org/bibtex/24c12cfc5fe2fb8f5499847b025c5b4f6/beatebeate2008-03-01T20:54:11+01:00spam web <span style="color:#555555;">Qingqing <a href="http://www.bibsonomy.org/author/Gan">Gan</a> and Torsten <a href="http://www.bibsonomy.org/author/Suel">Suel</a> </span><em>AIRWeb, </em>(<em>2007</em>)Sat Mar 01 20:54:11 CET 2008AIRWebDBLP:conf/airweb/2007Improving Web Spam Classifiers Using Link Structure (S)2007spam web http://www.bibsonomy.org/bibtex/22a091b9f9abc9d77906e84ff2bae7af7/beatebeate2008-03-01T20:51:34+01:00imported <span style="color:#555555;"> </span>(<em>2005</em>)Sat Mar 01 20:51:34 CET 2008AIRWebAIRWeb 2005, First International Workshop on Adversarial Information Retrieval on the Web, co-located with the WWW conference, Chiba, Japan, May 20052005imported Combating spam in tagging systemshttp://www.bibsonomy.org/bibtex/2776b76b33d469e438b0e5f74fc7ec7f0/beatebeate2008-03-01T19:06:30+01:00spam social-systems tagging <span style="color:#555555;">Georgia <a href="http://www.bibsonomy.org/author/Koutrika">Koutrika</a> and Frans Adjie <a href="http://www.bibsonomy.org/author/Effendi">Effendi</a> and Zolt'an <a href="http://www.bibsonomy.org/author/Gy\&#034;{o}ngyi">Gy&#246;ngyi</a> and Paul <a href="http://www.bibsonomy.org/author/Heymann">Heymann</a> and Hector <a href="http://www.bibsonomy.org/author/Garcia-Molina">Garcia-Molina</a> </span><em>AIRWeb '07: Proceedings of the 3rd international workshop on Adversarial information retrieval on the web, </em><em>page57--64. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2007</em>)Sat Mar 01 19:06:30 CET 2008New York, NY, USAAIRWeb '07: Proceedings of the 3rd international workshop on Adversarial information retrieval on the web57--64Combating spam in tagging systems2007spam social-systems tagging